-----------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/jeanlavallee/Dropbox/Datapub_RESTAT/Results/Appendix/TableC1_Pa
> nelB_1.log
  log type:  text
 opened on:  19 Feb 2024, 02:11:29

. foreach var in adherence_1{
  2. wildbootstrap regress `var' treatment final_stratum_id1-final_stratum_id13 pos
> t_exp, cluster(uid_cluster) reps(5000) rseed(13915183)
  3. wildbootstrap regress `var' treatment final_stratum_id1-final_stratum_id13 pos
> t_exp $patient_controls_b, cluster(uid_cluster) reps(5000) rseed(13915183)
  4. }

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20.........30.. done (32)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20......... done (29)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20.........30. done (31)
  Upper bound: .........10.........20.........30.. done (32)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20.........30. done (31)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for post_exp = 0 ...
Computing confidence interval for post_exp
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20.. done (22)

Wild cluster bootstrap                            Number of obs      = 12,844
Linear regression                                 Number of clusters =     65
                                                  Cluster size:
Cluster variable: uid_cluster                                    min =     36
Error weight: Rademacher                                         avg =  197.6
                                                                 max =    693
-----------------------------------------------------------------------------
             adherence_1 |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |   .1393962    4.74   0.000    .0743831    .2035757
   final_stratum_id1 = 0 |  -.0077538   -0.08   0.954   -.5771197    .5129005
   final_stratum_id2 = 0 |    .355798    4.11   0.014    .1534774    .7679332
   final_stratum_id3 = 0 |   .0044715    0.05   0.956   -.3436084    1.126736
   final_stratum_id4 = 0 |   .2499996    2.29   0.058   -.1958145    .7565751
   final_stratum_id5 = 0 |   .2414664    2.82   0.007    .0928847    .5272536
   final_stratum_id6 = 0 |  -.1575529   -1.63   0.403    -.721052    .1996919
   final_stratum_id7 = 0 |   .0607548    0.74   0.619   -.8836962    10.46387
   final_stratum_id8 = 0 |  -.1282641   -1.31   0.581   -.4379603    .1909864
   final_stratum_id9 = 0 |   .0812588    0.88   0.490   -.1263301    .4609658
  final_stratum_id10 = 0 |  -.1364002   -1.31   0.551   -.4728355    .1807255
  final_stratum_id11 = 0 |   .1433774    1.34   0.212   -.1252176    .7725461
  final_stratum_id12 = 0 |   .3595593    3.36   0.051   -.0239517    .8362065
  final_stratum_id13 = 0 |   .2165484    2.27   0.085   -.0610004    .8684113
            post_exp = 0 |  -.0100969   -0.47   0.643   -.0604747    .0332926
-----------------------------------------------------------------------------
note: _dum_migrate_6plus omitted because of collinearity.

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20.........30. done (31)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20.........30... done (33)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20.........30....... done (37)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for post_exp = 0 ...
Computing confidence interval for post_exp
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for _male = 0 ...
Computing confidence interval for _male
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for _age = 0 ...
Computing confidence interval for _age
  Lower bound: .........10......... done (19)
  Upper bound: .........10........ done (18)

Performing 5,000 replications for p-value for _caste_general = 0 ...
Computing confidence interval for _caste_general
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for _hindu = 0 ...
Computing confidence interval for _hindu
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _rw_both = 0 ...
Computing confidence interval for _rw_both
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for _ownhouse = 0 ...
Computing confidence interval for _ownhouse
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for _hhd_size = 0 ...
Computing confidence interval for _hhd_size
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for _migrate_always = 0 ...
Computing confidence interval for _migrate_always
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for _migrate_6plus = 0 ...
Computing confidence interval for _migrate_6plus
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for _time_to_center = 0 ...
Computing confidence interval for _time_to_center
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for _dum_male = 0 ...
Computing confidence interval for _dum_male
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for _dum_age = 0 ...
Computing confidence interval for _dum_age
  Lower bound: .........10.........20.........30. done (31)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for _dum_caste_general = 0 ...
Computing confidence interval for _dum_caste_general
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for _dum_hindu = 0 ...
Computing confidence interval for _dum_hindu
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for _dum_rw_both = 0 ...
Computing confidence interval for _dum_rw_both
  Lower bound: .........10.........20.........30.........40. done (41)
  Upper bound: .........10.........20.........30.........40...... done (46)

Performing 5,000 replications for p-value for _dum_ownhouse = 0 ...
Computing confidence interval for _dum_ownhouse
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for _dum_hhd_size = 0 ...
Computing confidence interval for _dum_hhd_size
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for _dum_migrate_always = 0 ...
Computing confidence interval for _dum_migrate_always
  Lower bound: .........10.........20.........30.........40 done (40)
  Upper bound: .........10.........20.........30.........40.. done (42)

Performing 5,000 replications for p-value for _dum_time_to_center = 0 ...
Computing confidence interval for _dum_time_to_center
  Lower bound: .........10...... done (16)
  Upper bound: .........10.........20...... done (26)

Wild cluster bootstrap                            Number of obs      = 12,844
Linear regression                                 Number of clusters =     65
                                                  Cluster size:
Cluster variable: uid_cluster                                    min =     36
Error weight: Rademacher                                         avg =  197.6
                                                                 max =    693
-----------------------------------------------------------------------------
             adherence_1 |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |   .1221217    5.00   0.000    .0676753    .1763907
   final_stratum_id1 = 0 |  -.1214486   -1.42   0.604   -.6293634    .1793465
   final_stratum_id2 = 0 |   .5189723    6.32   0.005    .3196764    .8627302
   final_stratum_id3 = 0 |  -.1163088   -1.56   0.577   -.4401752    .1280243
   final_stratum_id4 = 0 |   .3984718    3.81   0.007    .1651493    .8458334
   final_stratum_id5 = 0 |   .0950389    1.27   0.284   -.0437448    .3594854
   final_stratum_id6 = 0 |  -.2424944   -2.80   0.080   -.6954853    .0705697
   final_stratum_id7 = 0 |  -.1063431   -1.49   0.526   -.9055486    .1680024
   final_stratum_id8 = 0 |  -.2482972   -2.92   0.118   -.5318591     .031994
   final_stratum_id9 = 0 |   .0467165    0.61   0.661   -.1106508    .3867074
  final_stratum_id10 = 0 |  -.1998028   -2.56   0.262    -.388054    .0586713
  final_stratum_id11 = 0 |   .0030723    0.03   0.978   -.2686713    .4027225
  final_stratum_id12 = 0 |   .4665819    3.85   0.016    .2109089    .9395129
  final_stratum_id13 = 0 |   .1930717    2.41   0.070   -.0301349    .7650955
            post_exp = 0 |  -.0021031   -0.13   0.908   -.0390887    .0306416
               _male = 0 |   .0160586    0.81   0.440   -.0269984    .0584403
                _age = 0 |   .0000414    0.08   0.923   -.0009704    .0010371
      _caste_general = 0 |   .0527146    2.60   0.012    .0107718    .0980545
              _hindu = 0 |   .0213855    1.00   0.359   -.0246309    .0685404
            _rw_both = 0 |   .0158249    1.01   0.348   -.0184082    .0498608
           _ownhouse = 0 |   .0327619    2.19   0.036    .0024036     .064202
           _hhd_size = 0 |  -.0043818   -1.90   0.075   -.0090593    .0005179
     _migrate_always = 0 |  -.0437975   -2.77   0.012   -.0766366    -.010377
      _migrate_6plus = 0 |   -.012304   -0.81   0.438   -.0436695    .0199936
     _time_to_center = 0 |  -.0025591   -2.45   0.024   -.0048474   -.0003386
           _dum_male = 0 |   .0926313    0.66   0.804   -.4614281    .6324358
            _dum_age = 0 |    .122331    0.81   0.504   -2.846677    .6376785
  _dum_caste_general = 0 |   .0929793    2.63   0.031    .0101848    .1625153
          _dum_hindu = 0 |   .1731514    2.79   0.012     .026562    .3725682
        _dum_rw_both = 0 |  -.4046711  -11.64   0.373   -8.719036    11.69218
       _dum_ownhouse = 0 |  -.0264596   -0.48   0.649   -.1419226    .1232651
       _dum_hhd_size = 0 |   .0692414    0.47   0.655   -.5432765    .4251564
 _dum_migrate_always = 0 |   .1180999    1.57   0.803   -78.48783    305.7627
 _dum_time_to_center = 0 |  -.3408257   -9.00   0.000   -.4216255    -.255735
-----------------------------------------------------------------------------

. log close
      name:  <unnamed>
       log:  /Users/jeanlavallee/Dropbox/Datapub_RESTAT/Results/Appendix/TableC1_Pa
> nelB_1.log
  log type:  text
 closed on:  19 Feb 2024, 02:13:04
-----------------------------------------------------------------------------------
